class_docstr: Datasets introduced in
  `Geom-GCN: Geometric Graph Convolutional Networks
  <https://arxiv.org/abs/2002.05287>`__
  
  Parameters
  ----------
  name : str
      Name of the dataset.
  raw_dir : str
      Raw file directory to store the processed data.
  force_reload : bool
      Whether to re-download the data source.
  verbose : bool
      Whether to print progress information.
  transform : callable
      A transform that takes in a :class:`~dgl.DGLGraph` object and returns
      a transformed version. The :class:`~dgl.DGLGraph` object will be
      transformed before every access.
code: def __init__(self, name, raw_dir, force_reload, verbose, transform):
      url = _get_dgl_url(f"dataset/{name}.zip")
      super(GeomGCNDataset, self).__init__(
          name=name,
          url=url,
          raw_dir=raw_dir,
          force_reload=force_reload,
          verbose=verbose,
          transform=transform,
      )
  
imports: import os
  import numpy
  from ..convert import graph
  from .dgl_dataset import DGLBuiltinDataset
  from .utils import _get_dgl_url
label_desc: Use image node_id 1 to create a new GeomGCNDataset object from inherited base classes: DGLBuiltinDataset with example: obj = GeomGCNDataset(name, raw_dir, force_reload, verbose, transform)